Going Viral

Hi we’re the creators of the podcast: Pranoti Pradhan and Saimrunali Dadigala! Pranoti is a fourth year PhD Epidemiology Candidate at Vanderbilt University and Saimrunali is a first year Medical Student at Tufts University School of Medicine. We want to help you understand the epidemiology and population health - health for the population. Come back every month for a new episode! Please rate and review the podcast if you enjoy it. Let's start GOING VIRAL!

AI in Public Health & Medicine 02/10/2025

AI in Public Health & Medicine AI in Public Health & Medicine For more information checkout: (1) Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. DOI (2) Wiener, N. (1948). Cybernetics: Or Control and Communication in the Animal and the Machine. MIT Press. (3) McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. (4) Newell, A., & Simon, H. A. (1956). The Logic Theory Machine—A Complex Information Processing System. IRE Transactions on Information Theory, 2(3), 61–79. DOI (5) Weizenbaum, J. (1966). ELIZA—A Computer Program for the Study of Natural Language Communication Between Man and Machine. Communications of the ACM, 9(1), 36–45. DOI (6) Crevier, D. (1993). AI: The Tumultuous History of the Search for Artificial Intelligence. Basic Books. (7) Feigenbaum, E. A., & McCorduck, P. (1983). The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World. Addison-Wesley. (8) Campbell, M., Hoane, A. J., & Hsu, F. H. (2002). Deep Blue. Artificial Intelligence, 134(1–2), 57–83. DOI (9) Silver, D., et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484–489. DOI (10) Brown, T., et al. (2020). Language Models are Few-Shot Learners. Advances in Neural Information Processing Systems. (11) Ramesh, A., et al. (2021). Zero-Shot Text-to-Image Generation. OpenAI. (12) Binns, R. (2018). Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. DOI (13) Statista Research Department. (2023). Daily Per Capita Data Interactions Worldwide. (14) "AI in Health Care: Applications, Benefits, and Examples" Authors: Coursera Team Published: October 2024 (15) "AI in Healthcare: Benefits and Examples" Authors: Cleveland Clinic Health Essentials Published: September 2024 (16) "AI in Healthcare: The Future of Patient Care and Health Management" Authors: Mayo Clinic Press Published: March 2024 (17) "10 Top Artificial Intelligence (AI) Applications in Healthcare" Authors: VentureBeat Staff Published: August 2022 (18) "10 Real-World Examples of AI in Healthcare" Authors: Philips News Center Published: November 2022 (19) "AI in Healthcare: Uses, Examples & Benefits" Authors: Built In Staff Published: November 2024 (20) "Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development" Authors: U.S. Government Accountability Office Published: December 2020 (21) "Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications" Authors: Luis R. Soenksen, Yu Ma, Cynthia Zeng, Leonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael L. Li, Ignacio Fuentes, Dimitris Bertsimas Published: February 2022 (22) "Remote Patient Monitoring Using Artificial Intelligence: Current State, Applications, and Challenges" Authors: Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya Published: January 2023 (23) Artificial Intelligence in Medicine and Healthcare: A Review and Classification of Current and Near-Future Applications and Their Ethical and Social Impact" Authors: Emilio Gómez-González, Emilia Gómez, Javier Márquez-Rivas, Manuel Guerrero-Claro, Isabel Fernández-Lizaranzu, María Isabel Relimpio-López, Manuel E. Dorado, María José Mayorga-Buiza, Guillermo Izquierdo-Ayuso, Luis Capitán-Morales Published: January 2020 (24) Parums DV. Editorial: Infectious Disease Surveillance Using Artificial Intelligence (AI) and its Role in Epidemic and Pandemic Preparedness. Med Sci Monit. 2023;29:e941209. Published 2023 Jun 1. doi:10.12659/MSM.941209 (25) Chen, S., Yu, J., Chamouni, S. et al. Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions. BMC Med 22, 354 (2024). (26) Abdulkareem M, Petersen SE. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Front Artif Intell. 2021;4:652669. Published 2021 May 14. doi:10.3389/frai.2021.652669 (27) Hamilton AJ, Strauss AT, Martinez DA, et al. Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrob Steward Healthc Epidemiol. 2021;1(1):e28. Published 2021 Oct 7. doi:10.1017/ash.2021.192 /episode/index/show/goingviralepidemiology/id/35215605

S3E1 | Access to Pain Medicine in Lower & Middle Income Countries 11/12/2024

S3E1 | Access to Pain Medicine in Lower & Middle Income Countries How does access to pain medicine differ between nations and how does this impact public health? For more information checkout: Pain management in low- and middle-income countries (PMID: 33456843), Guide to Pain Management in Low-Resource Settings (Author: International Association for the Study of Pain), Chronic pain: a review of its epidemiology and associated factors in population-based studies (PMID: 31079836), Vital Signs: Prescription Opioid Pain Reliever Use During Pregnancy — 34 U.S. Jurisdictions, 2019 (PMID: 33180599), Maternal and Infant Characteristics Associated with Opioid Use During Pregnancy: A Population-Based Study Using Birth Certificate Data (PMID: 30550261), Trends, Patterns, and Maternal Characteristics of Opioid Prescribing During Pregnancy in a Large Population-based Cohort Study (PMID: 32054599), Neonatal Outcomes Associated with Maternal Use of Opioids During Pregnancy (PMID: 31013277), Addressing the Opioid Epidemic in Low-Income and High-Minority Communities (PMID: 31546158), Disparities in Access to Non-Opioid Pain Management Options in Medicaid Populations (PMID: 31167534), Socioeconomic Disparities and Neonatal Abstinence Syndrome: Implications for Maternal and Child Health (PMID: 30117882), The Impact of Socioeconomic and Racial Disparities on Opioid Use Disorder in Pregnancy (PMID: 32746981), Barriers to Accessing Addiction Treatment and Maternal Health Services Among Medicaid Populations (PMID: 30392954), Maternal Use of Opioids During Pregnancy and Congenital Malformations: A Systematic Review (PMID: 29376100), CDC: Centers for Disease Control and Prevention, PRAMS | CDC: Pregnancy Risk Assessment Monitoring System | Centers for Disease Control and Prevention, NVSS | CDC: National Vital Statistics Sytem | Centers for Disease Control and Prevention, NIDA | NIH: National Institute on Drug Abuse | National Institutes of Health, ChatGPT - Open AI, CANVA: Visual Suite for Everyone. /episode/index/show/goingviralepidemiology/id/33884257